Frank Meng
Impact in
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- AI in cancer detection
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Semantic Web and Ontologies 5
- Machine Learning in Healthcare 3
- Natural Language Processing Techniques 3
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Sudhir Sornapudi (1 shared paper)Ricky K. Taira (4 shared papers)Wesley W. Chu (1 shared paper)Craig A. Morioka (5 shared papers)Hooshang Kangarloo (4 shared papers)William Hsu (3 shared papers)John W. Harmon (2 shared papers)Alex Bui (4 shared papers)
- Journals
- Drug and Alcohol Dependence (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Journal of Clinical Oncology (1 paper)Journal of the American Medical Informatics Association (1 paper)Informatics for Health and Social Care (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Frank Meng
26 papers receiving 209 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 86
- Health Informatics 3
- Health Information Management 9
- Gastroenterology 10
- Oncology 49
Countries citing papers authored by Frank Meng
This map shows the geographic impact of Frank Meng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frank Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Meng more than expected).
Fields of papers citing papers by Frank Meng
This network shows the impact of papers produced by Frank Meng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frank Meng. The network helps show where Frank Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 1999 | 19 | |
| 3 | 2016 | 17 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2018 | 11 | |
| 7 | 2016 | 10 | |
| 8 | Generating models of surgical procedures using UMLS concepts and multiple sequence alignment. | 2005 | 9 |
| 9 | 2019 | 8 | |
| 10 | UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting | 2014 | 7 |
| 11 | 1999 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2005 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2017 | 4 | |
| 16 | Information Extraction Using Semantic Patterns for Populating Clinical Data Models. | 2004 | 3 |
| 17 | 2018 | 3 | |
| 18 | 2008 | 2 | |
| 19 | Determining word sequence variation patterns in clinical documents using multiple sequence alignment. | 2011 | 2 |
| 20 | A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. | 2015 | 1 |
About Frank Meng
Frank Meng is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 216 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (5 papers), Cancer Genomics and Diagnostics (3 papers), Machine Learning in Healthcare (3 papers), Natural Language Processing Techniques (3 papers), Colorectal Cancer Screening and Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Opioid Use Disorder Treatment (3 papers). The work is most often cited by research in Artificial Intelligence (86 citations), Health Informatics (3 citations), Health Information Management (9 citations), Gastroenterology (10 citations) and Oncology (49 citations). Frank Meng has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Sudhir Sornapudi, Ricky K. Taira, Wesley W. Chu, Craig A. Morioka, Hooshang Kangarloo, William Hsu, John W. Harmon, Alex Bui, Suzie El‐Saden and James Sayre. Their work appears in journals such as Drug and Alcohol Dependence, Clinical Pharmacology & Therapeutics, Journal of Clinical Oncology, Journal of the American Medical Informatics Association and Informatics for Health and Social Care.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.